Ecotourism spatial planning requires the balance of both development and conservation. Through environmental data analysis, many researchers have suggested spatial planning that falls between these two polarizing concepts. Nonetheless, ecotourism development has been criticized as inconsiderate of places that are precious to local residents. The purpose of this study is to map local stakeholders’ perspectives for collaborative planning based on interests regarding ecotourism. Q methodology was used to analyse interest in space and conduct mapping. Upon analysis of a Seocheon ecotourism site, four preference factors that focus on (i) large-scale ecotourism resources and facilities; (ii) mud-flat ecotour villages; (iii) inland agricultural ecotour villages; and (iv) traditional ecotour villages were identified. Additionally, there was a consensus to conserve the harbours and reservoirs actually used by residents. However, there were differing opinions about coastal region development, and thus design alternatives are required. These results are significant because they enable spatial planning by theme and consider the lives of local residents beyond spatial planning based on physical data.

Understanding landscape as a socio-ecological system where systematic interactions occur among diverse ecosystems and human society is necessary for a sustainable landscape and resource management. However, many countries with rapid economic growth, including South Korea, depend on conventional planning and policy decisions to meet increasing demands for the use of specific natural resources. Such resource-oriented planning and policy which neglect considerations for the surrounding landscape can result in conflicts of interest and regulation. We designed a landscape conservation value (LCV) map of Jeju Island, Korea to overcome rising managerial and policy issues with the provision of systematic perspectives of landscape. With a consideration for natural and human-modified characteristics of the landscape, we used landform and land cover data to create fundamental landscape types. Then, the LCV was assigned to each type by a board of landscape experts. Within a study region, we observed relatively high values in registered protected areas and unique landscapes, and areas where high and low values are aligned. The resultant LCV map can identify areas that potentially require an integrated approach to prevent adverse effects caused by a conventional approach.